Prikaz rezultata 11.701 – 11.720 od 11.828 za pretragu '((((notifications OR notifications) OR justification) OR modifications) OR classification)', vrijeme upita: 0,16s Detaljiziraj rezultate
  1. 11701

    Image 3_Global burden of ovarian and uterine cancers attributable to high body-mass index in 204 countries and territories, 1990–2021.tif od Huishan Han (20958191)

    Izdano 2025
    “…Regional and national disparities were assessed using sociodemographic index (SDI) classifications. Forecasts employed the exponential smoothing (ES) and autoregressive integrated moving average (ARIMA) models.…”
  2. 11702

    Data Sheet 1_Five novel EP300 variants expand the genetic and phenotypic spectrum of Rubinstein–Taybi syndrome type 2 in Chinese patients.doc od Qiang Zhang (45005)

    Izdano 2025
    “…The functional impact of variants was assessed using diverse bioinformatic tools, and pathogenicity classifications were assigned according to ACMG/AMP guidelines.…”
  3. 11703

    Data for: A global model of discretized rarity and its restrictions od Alivia Nytko (16475688)

    Izdano 2025
    “…</li><li><b>Global rarity types</b> — Rarity classifications for <b>5,611 global angiosperms</b> using a GDR restriction named <b>eco-evolutionary rarity</b>.…”
  4. 11704

    Data Sheet 1_Quantitative biomechanical analysis of fracture patterns in ipsilateral femoral neck and shaft fractures: an in-silico study.docx od Zhongwei Xiong (11897471)

    Izdano 2025
    “…Simulating combinations of three Pauwels classifications (I-III) of femoral neck fractures (FNFs) and three femoral shaft fracture (FSF) types (transverse, wedge-shaped, comminuted), a total of 90 FNF-FSF models were generated. …”
  5. 11705

    Stellenbosch University: What does a university look like? od Simon Porter (1364613)

    Izdano 2025
    “…</p> <p><strong>About the Classifications</strong></p> <p>The 2020 Field of Research codes used in this analysis have been assigned to publications using the approach detailed in “Recategorising research: Mapping from FoR 2008 to FoR 2020 in Dimensions” (https://doi.org/10.1162/qss_a_00244.) …”
  6. 11706

    Indian Institute of Science Bangalore: What does a university look like? od Simon Porter (1364613)

    Izdano 2025
    “…</p> <p><strong>About the Classifications</strong></p> <p>The 2020 Field of Research codes used in this analysis have been assigned to publications using the approach detailed in “Recategorising research: Mapping from FoR 2008 to FoR 2020 in Dimensions” (https://doi.org/10.1162/qss_a_00244.) …”
  7. 11707

    Georgia Institute of Technology: What does a university look like? od Simon Porter (1364613)

    Izdano 2025
    “…</p> <p><strong>About the Classifications</strong></p> <p>The 2020 Field of Research codes used in this analysis have been assigned to publications using the approach detailed in “Recategorising research: Mapping from FoR 2008 to FoR 2020 in Dimensions” (https://doi.org/10.1162/qss_a_00244.) …”
  8. 11708

    Data Sheet 1_Circuitry correlates of negative urgency and suicidality in schizophrenia spectrum disorders: a LASSO regression study.docx od Tyler Pia (22809074)

    Izdano 2025
    “…</p>Method<p>We used least absolute shrinkage and selection operator (LASSO) logistic regression to generate classifications of individuals recruited as high-risk (n=14) and low-risk (n=16) for SIBs (n=30, M<sub>age</sub>=41.07, SD<sub>age</sub>=10.95, 13.3% female) Model 1 included demographics, childhood trauma, SSD symptoms, global cognitive ability, and urgency. …”
  9. 11709

    Pharmacists knowledge of medication review. od Rizah Anwar Assadi (22641159)

    Izdano 2025
    “…Awareness was high for prescription reviews (94.3%) but low for Pharmaceutical Care Network Europe classifications (4.3%). Positive attitudes were widespread (98.8%), and major barriers included time constraints (83.6%) and workload (76.7%). …”
  10. 11710

    Table 2_Global burden of ovarian and uterine cancers attributable to high body-mass index in 204 countries and territories, 1990–2021.xlsx od Huishan Han (20958191)

    Izdano 2025
    “…Regional and national disparities were assessed using sociodemographic index (SDI) classifications. Forecasts employed the exponential smoothing (ES) and autoregressive integrated moving average (ARIMA) models.…”
  11. 11711

    Minimal data set. od Rizah Anwar Assadi (22641159)

    Izdano 2025
    “…Awareness was high for prescription reviews (94.3%) but low for Pharmaceutical Care Network Europe classifications (4.3%). Positive attitudes were widespread (98.8%), and major barriers included time constraints (83.6%) and workload (76.7%). …”
  12. 11712

    State University of Campinas: What does a university look like? od Simon Porter (1364613)

    Izdano 2025
    “…</p> <p><strong>About the Classifications</strong></p> <p>The 2020 Field of Research codes used in this analysis have been assigned to publications using the approach detailed in “Recategorising research: Mapping from FoR 2008 to FoR 2020 in Dimensions” (https://doi.org/10.1162/qss_a_00244.) …”
  13. 11713

    Average time to conduct Medication Review. od Rizah Anwar Assadi (22641159)

    Izdano 2025
    “…Awareness was high for prescription reviews (94.3%) but low for Pharmaceutical Care Network Europe classifications (4.3%). Positive attitudes were widespread (98.8%), and major barriers included time constraints (83.6%) and workload (76.7%). …”
  14. 11714

    Table 1_Five novel EP300 variants expand the genetic and phenotypic spectrum of Rubinstein–Taybi syndrome type 2 in Chinese patients.doc od Qiang Zhang (45005)

    Izdano 2025
    “…The functional impact of variants was assessed using diverse bioinformatic tools, and pathogenicity classifications were assigned according to ACMG/AMP guidelines.…”
  15. 11715

    Pharmacists’ attitudes toward medication review. od Rizah Anwar Assadi (22641159)

    Izdano 2025
    “…Awareness was high for prescription reviews (94.3%) but low for Pharmaceutical Care Network Europe classifications (4.3%). Positive attitudes were widespread (98.8%), and major barriers included time constraints (83.6%) and workload (76.7%). …”
  16. 11716

    Image 1_Global burden of ovarian and uterine cancers attributable to high body-mass index in 204 countries and territories, 1990–2021.tif od Huishan Han (20958191)

    Izdano 2025
    “…Regional and national disparities were assessed using sociodemographic index (SDI) classifications. Forecasts employed the exponential smoothing (ES) and autoregressive integrated moving average (ARIMA) models.…”
  17. 11717

    Image 2_Global burden of ovarian and uterine cancers attributable to high body-mass index in 204 countries and territories, 1990–2021.tif od Huishan Han (20958191)

    Izdano 2025
    “…Regional and national disparities were assessed using sociodemographic index (SDI) classifications. Forecasts employed the exponential smoothing (ES) and autoregressive integrated moving average (ARIMA) models.…”
  18. 11718

    Data Sheet 1_Comparative validation of automated perfusion analysis software for ischemic penumbra estimation and EVT decision-making.docx od Jonguk Kim (632752)

    Izdano 2025
    “…JLK PWI showed excellent agreement with RAPID for ischemic core (CCC = 0.87; p < 0.001) and hypoperfused volume (CCC = 0.88; p < 0.001). EVT eligibility classifications based on DAWN criteria showed very high concordance across subgroups (κ = 0.80–0.90), and substantial agreement was observed using DEFUSE-3 criteria (κ = 0.76).…”
  19. 11719

    University College London: What does a university look like? od Simon Porter (1364613)

    Izdano 2025
    “…</p> <p><strong>About the Classifications</strong></p> <p>The 2020 Field of Research codes used in this analysis have been assigned to publications using the approach detailed in “Recategorising research: Mapping from FoR 2008 to FoR 2020 in Dimensions” (https://doi.org/10.1162/qss_a_00244.) …”
  20. 11720

    Table 3_Global burden of ovarian and uterine cancers attributable to high body-mass index in 204 countries and territories, 1990–2021.xlsx od Huishan Han (20958191)

    Izdano 2025
    “…Regional and national disparities were assessed using sociodemographic index (SDI) classifications. Forecasts employed the exponential smoothing (ES) and autoregressive integrated moving average (ARIMA) models.…”